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Assessing Spatial Dependence in Count Data: Winsorized and Spatial Filter Specification Alternatives to the Auto-Poisson Model 总被引:2,自引:0,他引:2
Daniel A. Griffith 《Geographical analysis》2006,38(2):160-179
The auto-Poisson probability model furnishes an obvious tool for modeling counts of geographically distributed rare events. Unfortunately, its original specification can accommodate only negative spatial autocorrelation, which itself is a rare event. More recent alternative reformulations, namely, the Winsorized and spatial filter specifications, circumvent this drawback. A comparison of their performances presented in this article reveals some of their relative advantages and disadvantages. 相似文献
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Exploring Relationships Between the Global and Regional Measures of Spatial Autocorrelation 总被引:2,自引:0,他引:2
Daniel A. Griffith David W. S. Wong Thomas Whitfield 《Journal of regional science》2003,43(4):683-710
Abstract The objective of this research is to investigate dimensions of geographic variation in spatial dependency contained within large multilevel data sets. We calculate 1990 population density by census block group, county, and state for the 48 coterminous states and the District of Columbia of the United States, calculations of interest to a wide variety of spatial scientists. We explore relations between these levels and their variation across the nation. The empirical findings generated by this work furnish implications concerning the Modifiable Areal Unit Problem (MAUP), spatial autocorrelation statistics, scale effects, and resolution. 相似文献
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Sidney C.H. Cheung 《International Journal of Heritage Studies》2013,19(1):36-45
The north‐western part of Hong Kong is a marsh with traditional freshwater fish farming; however, this brackish area has been agriculturally diversified to include cultivation of red rice, reeds, shrimp and fish, and has only largely concentrated on freshwater fish farming starting from the 1960s. By looking into the geographical and social changes that have taken place in the brackish area, I will explain how the coastal landscape was changed in the 1910s through the introduction of large‐scale rice production in Tin Shui Wai which has turned into a high‐density residential new town, and the wetland conservation of Mai Po marshes. This article aims at understanding the meanings of intangible as well as agricultural/fishery heritage and the local politics among indigenous communities, conservation groups, the government and developers in post‐handover Hong Kong society. Inland freshwater pond cultivation was actually a major industry in the 1970s since it supplied most of the freshwater fish for the local market. Nowadays, the industry is shrinking because of lack of manpower and high operation costs compared to the mainland. With various kinds of social, economic and physical pressures, the local communities which are located at the buffer areas of the wetland in Mai Po are actually facing the tremendous dangers of losing those fishponds; most importantly, the fishponds have been serving not only as mitigation zone and source of a traditional local food but also as a major food supplier for migratory birds, adding to the conservation value of the Mai Po marshes and Inner Deep Bay in Hong Kong at large. 相似文献